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and industrial project partners. You will be responsible for: Developing and adapting machine-learning approaches for structure-based and generative molecular design. Integrating physicochemical
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through strategies such as reinforcement learning (RL) and innovative frameworks like the "graph of thoughts". We are firmly in the "Age of Computation", where breakthroughs in AI are synonymous with
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departments) and combine it into measures that show what teaching and learning conditions actually look like across the university. The Rectorate and the departments use these analyses to gain a systemic view
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rough-surface and multiscale mechanics. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning
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Supercomputing Centre Singapore (L-Gym). The Gym's purpose is to close the gap between high-dimensional scientific data and hypothesis generation. It does this by turning raw imaging data into learned
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, and society at large. Job description Organization and hosting of events for the Alumni community and expert talks Administrative tasks such as programme's schedule management, coordination of learning
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value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment
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be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science, machine learning
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architecture development: novel pretraining objectives, tokenization, and scalable architectures for biological data. Multimodal learning: representation learning across diverse biological data modalities
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values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and